A Guide to Exploratory Data Analysis (EDA) with Airbnb Data | Week 3

Discover how to dive deep into Airbnb data with our guide on Exploratory Data Analysis. Master the art of analyzing and visualizing data with ease.

Welcome back Python crew to our data analytics series! If you’ve been with us so far, you’ve already learned the basics of what data analytics is and how to clean your data from our previous articles. This will continue to build on those!

Now, we’re jumping into the next part of our journey: Exploratory Data Analysis, or EDA for short. Today you will use real world Airbnb data from New York City to complete your first exploratory data analysis.

This is where the real fun begins! EDA is all about digging into your data to find patterns, trends, and useful insights that will help you make sense of everything. In todays article you will learn the basics of EDA as well as MatplotLib to visualize your findings!

Each week, I dive deep into Python and beyond, breaking it down into bite-sized pieces. While everyone else gets just a taste, my premium readers get the whole feast! Don't miss out on the full experience – join us today!

👉 I’ve put my source code and CSV file for you all to follow along with at the bottom of this article. As well as a challenge for you guys along the way!

This is the next key phase in our Data Analytics journey, we’ve cleaned our data. Now it becomes time to create visualizations to show us what type of data we are working with here. As time goes on past this phase we can work on apply filtering and grouping techniques to further our analysis!

Today I will do a rough cleaning of our data but coming from our last article you should be able to use the techniques I discussed there to further clean this Airbnb CSV data for better findings, consider this a practice to hone in your skills.

Let’s get started and see what hidden gems we can uncover together. Remember to check out the roadmap to see where this series is headed next!

---

The Nerd Nook is reader supported, thank you to all my premium readers who help me continue this journey everyday! Here’s a Lifetime Discount to show your support.

👉 If you get value from this article, please help me out and leave it a ❤️. This helps more people discover this newsletter on Substack! Thank you so much!